Topic: Unidirectional and Bidirectional Control Optimization of Electric Vehicle Chargers

Lecturer: Cesar Diaz-Londono, Researcher

Time: April 2, 2025, 9:30 - 11:00 a.m. (UTC+8)

Venue: Conference Room 308, School of Transportation and Logistics Engineering

Biography: Researcher Cesar Diaz-Londono has over a decade of experience in energy management systems research, with a focus on electric vehicle (EV) grid integration, charging strategies, and real-time assessment. He earned a Ph.D. in Engineering from Pontificia Universidad Javeriana in Colombia and another in Electrical Engineering from Politecnico di Torino in Italy in 2020. From 2022 to 2024, he served as an assistant professor at Politecnico di Milano and was a visiting professor at Delft University of Technology and Chalmers University of Technology in 2024, collaborating with industrial partners such as ABB. Currently, he is a researcher at the Microgrid and Renewable Energy Research Center of Huanjiang Laboratory at Zhejiang University and chairs the IEEE TEC Young Professionals Committee. He has led multiple research projects funded by European and Colombian grants, focusing on developing incentive-based algorithms for sustainable transportation coordination and optimizing energy flows in European projects. His work also includes analyzing the impact of EV charging stations on power grids.

Abstract: The widespread adoption of electric vehicles (EVs) poses significant challenges to power grid stability, as uncoordinated charging may cause grid congestion and voltage fluctuations. To address these issues, smart charging strategies are critical for optimizing EV charging demand while ensuring seamless grid integration. This presentation traces the evolution from uncoordinated charging to coordinated and model-based control strategies, which leverage the flexibility of EV chargers to improve energy management efficiency. By dynamically scheduling charging power and incorporating both unidirectional (V1G) and bidirectional (V2G) capabilities, these strategies enhance grid resilience and promote a more sustainable energy system. Their effectiveness is validated using real-world data from public EV chargers, demonstrating their ability to adapt to dynamic energy service requirements, reduce operational costs, and maximize charging station flexibility.

Rewritten by: Gong Mengting

Edited by: Wang Jingjing

Source: School of Transportation and Logistics Engineering